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Tianqi Hou
Tianqi Hou
Theory Lab, Central Research Institute, 2012 Labs, Huawei Technologies Co., Ltd.
Verified email at connect.ust.hk
Title
Cited by
Cited by
Year
Statistical physics of unsupervised learning with prior knowledge in neural networks
T Hou, H Huang
Physical Review Letters 124 (24), 248302, 2020
162020
Minimal model of permutation symmetry in unsupervised learning
T Hou, KYM Wong, H Huang
Journal of Physics A: Mathematical and Theoretical 52 (41), 414001, 2019
162019
The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation?
J Barbier, TQ Hou, M Mondelli, M Sáenz
Advances in Neural Information Processing Systems 35, 36733-36747, 2022
122022
Associative memory model with arbitrary Hebbian length
Z Jiang, J Zhou, T Hou, KYM Wong, H Huang
Physical Review E 104 (6), 064306, 2021
62021
Spectrum of non-Hermitian deep-Hebbian neural networks
Z Jiang, Z Chen, T Hou, H Huang
Physical Review Research 5 (1), 013090, 2023
52023
Sparse superposition codes under VAMP decoding with generic rotational invariant coding matrices
TQ Hou, YH Liu, T Fu, J Barbier
2022 IEEE International Symposium on Information Theory (ISIT), 1372-1377, 2022
52022
Eigenvalue spectrum of neural networks with arbitrary Hebbian length
J Zhou, Z Jiang, T Hou, Z Chen, KYM Wong, H Huang
Physical Review E 104 (6), 064307, 2021
52021
Capacity-achieving sparse regression codes via vector approximate message passing
Y Xu, YH Liu, SS Liang, T Wu, B Bai, J Barbier, TQ Hou
2023 IEEE International Symposium on Information Theory (ISIT), 785-790, 2023
22023
Mismatched estimation of non-symmetric rank-one matrices corrupted by structured noise
T Fu, YH Liu, J Barbier, M Mondelli, SS Liang, TQ Hou
2023 IEEE International Symposium on Information Theory (ISIT), 1178-1183, 2023
12023
Approximate message passing for multi-layer estimation in rotationally invariant models
Y Xu, TQ Hou, SS Liang, M Mondelli
2023 IEEE Information Theory Workshop (ITW), 294-298, 2023
12023
Sparse superposition codes with rotational invariant coding matrices for memoryless channels
YH Liu, T Fu, J Barbier, TQ Hou
2022 IEEE Information Theory Workshop (ITW), 267-272, 2022
12022
Application of Statistical Mechanics in Unsupervised Learning and Associative Memory
TQ Hou
PQDT-Global, 2021
2021
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Articles 1–12